Intelligent Sensor Networks

In the last decade, wireless or wired sensor networks have attracted much attention. However, most designs target general sensor network issues including protocol stack (routing, MAC, etc.) and security issues. This book focuses on the close integration of sensing, networking, and smart signal processing via machine learning. Based on their world-class research, the authors present the fundamentals of intelligent sensor networks. They cover sensing and sampling, distributed signal processing, and intelligent signal learning. In addition, they present cutting-edge research results from leading experts

Real-Time Implementation of Locality Sensitive Hashing Using NI WSN and LabVIEW for Outlier Detection in Wireless Sensor Networks

Abstract Outlier detection is one of the major challenges in wireless sensor networks. To the best of our knowledge, not many have evaluated the performance of outlier detection algorithms in real time. This paper proposes a real time hardware implementation of outlier detection using locality sensitive hashing algorithm for temperature data and evaluated both in indoor and outdoor environments. NI WSN 3202 programmable nodes and NI 9792 programmable gateway is used for hardware implementation of the algorithm and LabVIEW TM software is used for programming the nodes. The LSH technique detects outliers based on the threshold value. Hence the outlier detection accuracy and precision are analyzed for various threshold values and the optimal threshold value is selected